Foreign language learning has been a significant focus for many businesses. Neural network capabilities utilized with AI can enhance language education platforms to revolutionize education for students, teachers, as well as the enterprise sector. AI algorithms have a high potential to advance eLearning in every field. In the case of language learning, AI personalizes teachings and lessons for each learner, reducing the time, cost, and frustration involved in completing online or app-based courses.
AI consists of algorithms, which have the potential to transform eLearning in every field. Paying personal attention to students can be a daunting task for teachers. However, virtual AI allows students to learn at their own pace, repeat topics, and emphasize things they have trouble with. Therefore, teachers can focus more on smart ways to help their students rather than being engaged in time-consuming teaching tasks.
Further, the introduction of wearable technology to learn languages is one of the key trends to gain traction, especially in the corporate online language learning market. Wearable technologies, including devices such as HoloLens, fitness trackers, smart watches, and smart glasses, assist learners in learning languages in an advanced manner. For instance, Google Glass offers the Google Glass website to support more than 150 apps that include media, utilities, and language learning. It promotes learner interaction and language fluency by facilitating language learning in different set-ups, such as collaborative and individual.
Moreover, as the demand for traditional desktop is declining and the demand for mobile devices, such as notebook computers, smart phones, and tablets is increasing, key players are specifically designing apps with the help of big data, ML, and AI for smart phones and desktops. For instance:
In October 2019, Rosetta Stone Inc. (U.S.) launched its new Mac app with macOS Catalina, which is the latest version of the world’s most advanced desktop operating system. This app has TruAccent - Rosetta Stone’s patented speech recognition engine that works seamlessly with Mac’s built-in microphone and also enables users to download lessons for offline use.
In March 2019, Busuu Ltd (U.K.) incorporated an ML algorithm in its web and mobile apps that adapts real-time learning behavior. With ML, the app now intelligently calculates each learner’s vocabulary strengths and weaknesses and produces an entirely personalized set of study materials in each session.
In July 2016, Duolingo Inc. (U.S.) launched a new app, Tinycards, for free on iOS.
Thus, the penetration of AI in e-learning is expected to drive the global online language learning market at a CAGR of 18.7% to reach $21.2 billion by 2027, according to Meticulous Research®.
Meticulous Research’s Repository for Language Learning Industry Include:
Learning Management System (LMS) Market by Product Offering (Solutions, Services), User Group (Education, Corporate), Delivery Mode (Distance Learning, Instructor-led Learning), Deployment Type (Cloud, On-Premise), and Geography- Global Forecast to 2025
Online Language Learning Market by Product (SaaS, Apps, Tutoring), Mode (Consumer, Government, K-12, Corporate), Language (English, German, Japanese, Korean, Mandarin Chinese) and Geography – Global Forecast to 2027
Comments